Coronavirus disease 2019 (COVID-19) mortality and neighborhood characteristics in Chicago

被引:68
作者
Bryan, Molly Scannell [1 ]
Sun, Jiehuan [2 ]
Jagai, Jyotsna [2 ]
Horton, Daniel E. [3 ,4 ]
Montgomery, Anastasia [3 ,4 ]
Sargis, Robert [5 ]
Argos, Maria [2 ]
机构
[1] Univ Illinois, Inst Minor Hlth Res, Dept Med, Chicago, IL USA
[2] Univ Illinois, Sch Publ Hlth, Chicago, IL USA
[3] Northwestern Univ, Dept Earth & Planetary Sci, Chicago, IL USA
[4] Northwestern Univ, Inst Sustainabil & Energy, Chicago, IL USA
[5] Univ Illinois, Dept Med, Chicago, IL USA
关键词
COVID-19; Prevention; Social determinants of health; Built environment; Health disparities;
D O I
10.1016/j.annepidem.2020.10.011
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: To describe coronavirus disease 2019 (COVID-19) mortality in Chicago during the spring of 2020 and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates. Methods: Using Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts). Results: Black residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared with 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared with 35% of deaths among black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents. Conclusions: We describe communities that may benefit from supportive services and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future Purpose: To describe coronavirus disease 2019 (COVID-19) mortality in Chicago during the spring of 2020 and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates. Methods: Using Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts). Results: Black residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared with 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared with 35% of deaths among black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents. Conclusions: We describe communities that may benefit from supportive services and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future deaths from COVID-19. (c) 2020 Elsevier Inc. All rights reserved.
引用
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页码:47 / +
页数:13
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